TRANSFORMER
Data Transformation Agent
Models, shapes, and maintains your data - staging to mart. Tell him what to build, or he'll figure out what's missing. Stack agnostic. Topology agnostic. Works with what you already run.
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Same joins. 40 queries in 2 weeks. The Transformer noticed.
Built the mart.
Deployed it.
Next report: 10x faster.
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Upstream schema changed.
2 dashboards in the blast radius.
The Transformer rewrote the models, updated the contract, and shipped a clean PR.
Before anyone opened Slack.
200 attributes in the mart. 30 are actually queried.
The Transformer pruned the rest.
Compute dropped 40%.
Nobody noticed - except the CFO.
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ML team needs features.
The Transformer built thefeature store.
Fresh, versioned, point-in-time correct.
Data science ships models - not pipelines.
Staging, warehouse, mart. End to end. Every morning.
The Transformer writes the SQL,Python, or Spark - manages dependencies, runs tests, handles incremental logic.
So your engineers can focus onwhat's next, not what's routine.
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Meet WALT, your AI context engineer. He builds your ReasonBaseTM, a dynamic data reasoning layer for trusted, consistent AI workflows.
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